Search results for: MATHEMATICAL MODEL, FINITE ELEMENT ANALYSIS, REDUCED ORDER SYSTEMS, RELIABILITY, FREQUENCY ESTIMATION, COMPUTATIONAL MODELING, NUMERICAL MODELS

• Numerical Methods

  e-Learning Courses

  • P. Sypek
  • M. Rewieński

  Numerical Methods: for Electronics and Telecommunications students, Master's level, semester 1 Instructor: Michał Rewieński, Piotr Sypek Course description: This course provides an introduction to computational techniques for the simulation and modeling of a broad range of engineering and physical systems. Concepts and methods discussed are widely illustrated by various applications including modeling of integrated circuits,...

• Finite Element Method

  e-Learning Courses

  • B. Sobczyk
  • M. Malikan

  Item Name : Finite Element Method- Abaqus learning Field of study : Civil Engineering Faculty : Faculty of Civil and Environmental Engineering Education level : Second degree studies Form of studies : Full-time studies Year of studies : 1 Study semester : 2 Start of the semester : November 2021 Academic year of the course : 2021/2022 Form of classes : Lecture, Laboratory

• Finite Element Method Applications - winter 2022/2023

  e-Learning Courses

  • W. Witkowski
  • A. Sabik
  • B. Sobczyk
  • S. Burzyński
  • Ł. Pyrzowski

  Finite Element Method Applications - summer 2022/2023 Seminar.

• Finite Element Method Applications - summer 2022/2023

  e-Learning Courses

  • W. Witkowski
  • A. Sabik
  • B. Sobczyk
  • S. Burzyński
  • Ł. Pyrzowski

  Finite Element Method Applications - summer 2022/2023 Seminar.

• Finite Element Method Applications - winter 2023/2024

  e-Learning Courses

  • W. Witkowski
  • A. Sabik
  • B. Sobczyk
  • Ł. Pyrzowski

  Finite Element Method Applications - winter 2022/2023 Seminar.

• Finite Element Method Applications 2023/2024 Summer

  e-Learning Courses

  • B. Sobczyk

  Finite Element Method Applications - summer semester 2023/2024 Seminar.

• Numerical Modeling of Hydrosystems 2023/2024

  e-Learning Courses

  • A. Szymkiewicz
  • A. Gumuła-Kawęcka
  • M. Szydłowski

  Kurs do przedmiotu NUMERICAL MODELING OF HYDROSYSTEMS Specjalność: Environmental Engineering (WILiŚ), II stopnia, stacjonarne dr hab. inż. Michał Szydłowski, prof. PG

• Numerical Modeling of Hydrosystems 2022/2023 (summer)

  e-Learning Courses

  • A. Szymkiewicz
  • M. Szydłowski
  • A. M. Mustafa

  Kurs do przedmiotu NUMERICAL MODELING OF HYDROSYSTEMS Specjalność: Environmental Engineering (WILiŚ), II stopnia, stacjonarne dr hab. inż. Michał Szydłowski, prof. PG

• Numerical Modeling of Hydrosystems 2022/2023 (winter)

  e-Learning Courses

  • A. Szymkiewicz
  • M. Szydłowski
  • A. M. Mustafa

  Kurs do przedmiotu NUMERICAL MODELING OF HYDROSYSTEMS Specjalność: Environmental Engineering (WILiŚ), II stopnia, stacjonarne dr hab. inż. Michał Szydłowski, prof. PG

• Finite Element Method - winter 2022/2023

  e-Learning Courses

  • W. Witkowski
  • B. Sobczyk
  • M. Miśkiewicz
  • Ł. Pyrzowski

  Civil Engineering, Studia Stacjonarne II Stopień, II semestr

• Finite Element Method - winter 2023/2024

  e-Learning Courses

  • W. Witkowski
  • B. Sobczyk
  • M. Miśkiewicz
  • Ł. Pyrzowski

  Civil Engineering, Studia Stacjonarne II Stopień, II semestr

• Mathematical and Numerical Modelling, L, IDE IInd, sem.01, summer, 2022/23(00057379)

  e-Learning Courses

  • K. J. Kaliński

  Modelling of controlled mechanical systems by the mixed method of rigid and flexible finite elements: The finite element volume problems. Dynamics of multibody systems. Modelling of stationary closed loop systems. Modelling of systems whose configuration changes with time. Modelling of nonlinear controlled systems. Optimal control at energy performance index: Control of continuous nonstationary systems in domain of generalised...

• Mathematical and numerical modelling,W,IDE-EMSS,IIst,sem.01,lato,2023/24 (PG_00057379)

  e-Learning Courses

  • K. J. Kaliński

  Modelling of controlled mechanical systems by the mixed method of rigid and flexible finite elements: The finite element volume problems. Dynamics of multibody systems. Modelling of stationary closed loop systems. Modelling of systems whose configuration changes with time. Modelling of nonlinear controlled systems. Optimal control at energy performance index: Control of continuous nonstationary systems in domain of generalised...

• Introduction to Numerical Simulation

  e-Learning Courses

  • M. Rewieński

  Course description: This interdisciplinary course provides an introduction to computational techniques for the simulation of a broad range of engineering and physical systems.  Concepts and methods discussed are widely illustrated by applications drawn from electrical, mechanical, and chemical engineering. Topics include: mathematical formulations of simulation problems; sparse direct and iterative linear system solution techniques,...

• Mathematical and numerical modelling, P, IDE-sem.01, AT-sem. 03, CS-sem. 03, summer 22/23, (PG_00057379)

  e-Learning Courses

  • G. Banaszek

  Project on Mathematical and numerical modelling.

• Mathematical and numerical modelling, P, IDE-sem.01, AT-sem. 03, CS-sem. 03, summer 22/23, (PG_00057379)

  e-Learning Courses

  • G. Banaszek

  Project on Mathematical and numerical modelling.

• Numerical methods in heat and fluid flow, PG_00057408

  e-Learning Courses

  • P. Ziółkowski

  Reiteration of information on thermodynamic cycles and extension of information on their modelling using commercial software tools. Presentation of balances, constitutive equations, how to set up conditions in CFD type codes. Equipment regulation and control in the context of heat exchangers.Presentation of the computational capabilities of the CFD calculation code ANSYS Fluent. Mass, momentum and energy balances in 0D and 3D terms.Analysis...

• Reliability of Structures

  e-Learning Courses

  Reliability of Structures, 2nd grade studies, Civil Engineering

• Numerical Methods for Partial Differential Equations

  e-Learning Courses

  • M. Rewieński

  Course description: This course focuses on modern numerical techniques for linear and nonlinear elliptic, parabolic and hyperbolic partial differential equations (PDEs), and integral equations fundamental to a large variety of applications in science and engineering. Topics include: formulations of problems in terms of initial and boundary value problems; finite difference and finite element discretizations; boundary element approach;...

• Systems Modeling and Simulation [WIMiO][2023/24]

  e-Learning Courses

  • T. Zubowicz

• Mathematical and numerical modelling, L, IDE, sem. 01, summer 21/22,(M:00057379)

  e-Learning Courses

  • K. J. Kaliński

  Modelling. Optimal control. Modal analysis. High speed milling. Mechatronic design.

• Modeling in Machine Design

  e-Learning Courses

  • K. Mazur
  • R. Gawarkiewicz
  • M. Wasilczuk
  • G. Rotta

  The course is meant to show the students how to build calculation models in machine design

• JOz Model AiR

  e-Learning Courses

  • B. Ozimek
  • U. Kamińska
  • I. Mokwa-Tarnowska
  • J. Wielgus
  • E. Wawoczna

• Mathematical Statistics (2022/23)

  e-Learning Courses

  • K. Flisikowski

  Mathematical Statistics - Data Engineering - Karol Flisikowski - winter semester 2022/23

• Models in spatial development

  e-Learning Courses

  • R. Skrzypczyński

• Mathematical Statistics (2023/24)

  e-Learning Courses

  • K. Flisikowski

  Mathematical Statistics - Data Engineering - prof. Karol Flisikowski - winter semester 2023/24

• Reliability of Structures - 3rd semester, Civil Engineering - Nowy

  e-Learning Courses

  • M. Skowronek

  Reliability of Structures, 2nd grade studies, Civil Engineering

• Numerical Modelling in flow systems design_W/S_Energetyka_sem6_lato 23/24_PG_00042087

  e-Learning Courses

  • T. Muszyński

  Przedstawienie podstaw modelowania komputerowego procesów mających zastosowanie w technice cieplnej tak aby słuchacz był w stanie zrozumieć i zinterpretować wyniki otrzymane przy pomocy kodów obliczeniowych

• Introductory modeling for decision-making using AMPL

  e-Learning Courses

  • J. Szostak
  • A. Felt

  Introductory modeling for decision-making using AMPL

• Modeling projects for decision-making using AMPL

  e-Learning Courses

  • J. Szostak
  • A. Felt

  Modeling projects for decision-making using AMPL

• RELIABILITY sem. III Summer 2023/24 kopia 2

  e-Learning Courses

  Reliability of Structures, 2nd grade studies, Civil Engineering

• Computational Intelligence - 2023

  e-Learning Courses

  • Z. Kowalczuk
  • T. Białaszewski

  Widening the students knowledge about the selected methods of artificial intelligence

• Computational Intelligence 2022

  e-Learning Courses

  • Z. Kowalczuk
  • T. Białaszewski
  • H. Kormański

  Widening the students knowledge about the selected methods of artificial intelligence

• [IMe] Advanced numerical methods in mechanics

  e-Learning Courses

  • K. Tesch
  • R. Jankowski
  • A. Żak

  {mlang pl} Dyscyplina: inżynieria mechaniczna Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący:  dr hab. inż. Krzysztof Tesch, prof. PG, dr hab. inż. Arkadiusz Żak, prof. PG Liczba godzin: 45 Forma zajęć: wykład {mlang} {mlang en} Discipline: mechanical engineering Obligatory course for 1st and 2nd-year PhD students Academic teachers: dr hab. inż. Krzysztof Tesch, prof. PG, dr hab. inż. Arkadiusz Żak, prof....

• Computer modeling and design of materials 2022/2023

  e-Learning Courses

  • S. Winczewski

  Computer modeling and design of materials, kierunek: Nanotechnologia, specjalność: Mathematics for new materials design, II stopień, semestr 3

• Financial Analysis exercises - New

  e-Learning Courses

  • P. Figura

  To obtain theoretical and practical experience of financial and economic analysis.   Methods of economic analysis:  Elements of production and human resources analysis, tangible assets analysis, inventory analysis, which would enable to understand the business case, to measure them and find suitable decision. To obtain theoretical and practical experience of financial analysis. 

• Computer Controlled Systems Lab - 2023/2024

  e-Learning Courses

  • P. Raczyński

  Computer Controlled Systems Lab The course includes 5 individual projects and their laboratory implementation. The topics:- Job analysis and tuning digital servo- Usage of a PC computer and MatLab package for controlling the dynamic object as a model of the tethered helicopter- Use of C language and the PC to control the plant in real time- Use of assembly language, and a microcontroller to control the plant in real time- Use...

• Computer Controlled Systems Lab - Nowy - Nowy

  e-Learning Courses

  • P. Raczyński
  • M. Niedźwiecki

  Computer Controlled Systems Lab The course includes 5 individual projects and their laboratory implementation. The topics:- Job analysis and tuning digital servo- Usage of a PC computer and MatLab package for controlling the dynamic object as a model of the tethered helicopter- Use of C language and the PC to control the plant in real time- Use of assembly language, and a microcontroller to control the plant in real time- Use...

• Operational Research - Queuing Systems 2022

  e-Learning Courses

  • J. Konorski

  Components, characteristics, classification, analysis, and applications of queuing systems.

• Operational Research - Queuing Systems 2024

  e-Learning Courses

  • J. Konorski

  Course discusses components, characteristics, classification, analysis, and applications of queuing systems.

• Operational Research - Queuing Systems 2024

  e-Learning Courses

  Course discusses components, characteristics, classification, analysis, and applications of queuing systems.

• [AEiE] Selected topics of electrical engineering - models of electrical machines

  e-Learning Courses

  • A. Wilk
  • R. Jankowski
  • Z. Krzemiński

  {mlang pl} Dyscyplina: automatyka, elektronika i elektrotechnika Zajęcia fakultatywne dla doktorantów II roku Prowadzący:  dr hab. inż. Andrzej Wilk, prof. PG, prof. dr hab. inż. Zbigniew Krzemiński Liczba godzin: 15 Forma zajęć: wykład {mlang} {mlang en} Discipline: control, electronic and electrical engineering Facultative course for 2nd-year PhD students Academic teachers: dr hab. inż. Andrzej Wilk, prof. PG, prof....

• Reliability of Structures - 3rd semester, Civil Engineering - Winter Semester 2023/24

  e-Learning Courses

  • K. Winkelmann
  • M. Skowronek

  Reliability of Structures, 2nd grade studies, Civil Engineering

• Financial Analysis exercises - New (copy)

  e-Learning Courses

  • K. Kubiszewska

  To obtain theoretical and practical experience of financial and economic analysis.   Methods of economic analysis:  Elements of production and human resources analysis, tangible assets analysis, inventory analysis, which would enable to understand the business case, to measure them and find suitable decision. To obtain theoretical and practical experience of financial analysis. 

• Decisions Analysis 2023/2024

  e-Learning Courses

  • N. Rizun

  This is content to the subject: "Decisions Analysis" to be used as a template for futher courses.

• Qualitative data analysis methods

  e-Learning Courses

  • M. Starnawska

  This is the continuation of Qualitatative Data Analysis Methods course provided online

• Computer controlled systems - 2022/2023

  e-Learning Courses

  • P. Raczyński

  materiały wspierające wykład na studiach II stopnia na kierunku ACR pod tytułem komputerowe systemy automatyki 1. Computer system – controlled plant interfacing technique; simple interfacing and with both side acknowledgement; ideas, algorithms, acknowledge passing. 2. Methods of acknowledgement passing: software checking and passing, using interrupt techniques, using readiness checking (ready – wait lines). The best solution...

• Mathematical and numerical modelling, P, IDE+EMSS, sem. 01, letni 23/24, stacjonarne, II stopień, (PG_00057379)

  e-Learning Courses

  • G. Banaszek

  Opanowanie wiedzy i umiejętności dotyczących tworzenia oraz rozwiązywania modeli obliczeniowych wybranych układów mechanicznych.  

• Computational Intelligence - sem. 2022/23

  e-Learning Courses

  • Z. Kowalczuk
  • T. Białaszewski

  Widening the students knowledge about the selected methods of artificial intelligence

• Computational Intelligence - 2023/2024 sem.

  e-Learning Courses

  • Z. Kowalczuk
  • T. Białaszewski

  Widening the students knowledge about the selected methods of artificial intelligence